With a local gradient descent approach, each iteration reduces to a one-dimensional line search [1]}; thus, the further incorporation of derivative information eliminates restrictions on the size of the optimization space. There is some evidence from the machine learning community that overparameterization of the space can accelerate optimization [2]}. Therefore, it is possible that increasing the Fourier resolution of the plasma boundary may similarly eliminate local minima.
